Mingxiang Huang

Henan University of Science and Technology

Papers

Total Citations

H-Index

About

Mingxiang Huang is a rising researcher in the field of rehabilitation robotics, with a focused expertise in assist-as-needed (AAN) control strategies for upper-limb rehabilitation robots. His work addresses a critical challenge in neurorehabilitation: how to effectively stimulate patients' active engagement during therapy to restore damaged central nervous system function. Huang's major contribution lies in developing a novel control strategy that leverages the motion characteristics of a patient's healthy limb to tailor robotic assistance. This approach implements a progressive rehabilitation training model that adapts support based on the patient's real-time effort, promoting motivation and maximizing recovery outcomes. His two most-cited papers, published in 2024, have already garnered 7 and 6 citations respectively, signaling strong early impact in this specialized field. By integrating biomechanical analysis with intelligent robotic control, Huang's research bridges the gap between passive robotic therapy and truly interactive, patient-driven rehabilitation. His work holds significant promise for advancing personalized neurorehabilitation technologies, offering a pathway to more effective and engaging recovery for individuals with upper-limb motor impairments.